Comparison of TOPSIS, COPRAS, ARAS and WASPAS methods in performance evaluation using crisp and interval data

Performance evaluation can have a significant impact on the functioning and development of a company. It is based on a set of possible measures is an important and difficult task for decision makers. This paper considers the performance evaluation constructed from primarily financial measures. In the proposed evaluation scheme the performances are expressed using crisp and interval values available. Criteria weights are calculated using objective approaches based on entropy and CRITIC methods. The goal of this paper is to compare four different MADM methods using crisp and interval data. These methods include TOPSIS, COPRAS, ARAS and WASPAS. Mathematical comparison with test data is used to determine the most appropriate MADM method for this task. The results of this paper will show the differences and applicability of these methods in practice.